This paper presents a case study in the generic design of Grid component models. It defines a framework allowing two component systems, one running in a CCA environment, and anoth...
Abstract. Representing human spatial knowledge has long been a challenging research area. The objective of this paper is to model a route description of human navigation where verb...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
This paper presents the modeling paradigm for Integrated Modular Avionics Design MIMAD V0, which is an extensible component-oriented framework that enables high level models of sy...
— High-order full-state Markov (FSM) chains have been employed to model errors and losses in many wireless studies. The complexity of this modeling paradigm is an exponential fun...